Data Analytics, B.S.

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Program Learning Outcomes

Learning Goal 1: Our students will have strong analytical skills.

Learning Goal 2: Our students will have strong quantitative skills.

Learning Goal 3: Our students will have effective communications skills.

Learning Goal 4: Our students will have a thorough understanding of various functional areas of business.

General Education Requirements (30-46 Credits)

Prerequisite coursework may be required to satisfy certain General Education courses and will count as elective credit.

Total Credits Required to Complete Major: 54

Basic Requirements: (45 Credits)

ACCT 102 - Introduction to Financial Accounting Credit(s): 3
ACCT 103 - Introduction to Managerial Accounting Credit(s): 3
ECON 110 - Introductory Microeconomics Credit(s): 3
ECON 112 - Introductory Macroeconomics Credit(s): 3
ECON 205 - Business and Economic Statistics Credit(s): 3
MGMT 300 - Organizational Behavior Credit(s): 3
MGMT 305 - Quantitative Methods Credit(s): 3
FNCE 311 - Managerial Finance Credit(s): 3
MKTG 331 - Marketing Credit(s): 3
DANL 100 - Programming for Data Analytics Credit(s): 3
DANL 200 - Introduction to Data Analytics Credit(s): 3
DANL 210 - Data Preparation and Management Credit(s): 3
DANL 300 - Advanced Data Analytics Credit(s): 3
DANL 310 - Data Visualization and Presentation Credit(s): 3
DANL 410 - Data Analytics Capstone Credit(s): 3

Elective Requirements: (9 Credits)

Choose 3 electives for 9 credits:

DANL 320 - Big Data Analytics Credit(s): 3
DANL 330 - Database Systems and SQL Credit(s): 3
DANL 340 - Social Media Data Analytics Credit(s): 3
*More electives will be added in the future

Related Requirements: (7 Credits)

MATH 221 - R/Calculus I Credit(s): 4
INTD 205 - Business Communications Credit(s): 3

Outline/Advising Guide

For Students who Matriculated prior to Fall 2022:

First Year

Fall (15 Credits)

DANL 100 - Programming for Data Analytics Credit(s): 3 or ECON 110 - Introductory Microeconomics Credit(s): 3
ACCT 102 - Introduction to Financial Accounting Credit(s): 3
MGMT 095 - Excel Tutorial Credit(s): 0
INTD 105 - Writing Seminar: (subtitle) Credit(s): 3
Social Science Credit(s): 3
Fine Arts Credit(s): 3

Spring (15 Credits)

ACCT 103 - Introduction to Managerial Accounting Credit(s): 3
ECON 110 - Introductory Microeconomics Credit(s): 3 or DANL 100 - Programming for Data Analytics Credit(s): 3
ECON 205 - Business and Economic Statistics Credit(s): 3
Social Science Credit(s): 3
Fine Arts Credit(s): 3

Second Year

Fall (14 Credits)

DANL 200 - Introduction to Data Analytics Credit(s): 3 or INTD 205 - Business Communications Credit(s): 3
ECON 112 - Introductory Macroeconomics Credit(s): 3
Natural Science Credit(s): 4
Humanities Credit(s): 4

Spring (17 Credits)

INTD 205 - Business Communications Credit(s): 3 or DANL 200 - Introduction to Data Analytics Credit(s): 3
MATH 221 - R/Calculus I Credit(s): 4
DANL 210 - Data Preparation and Management Credit(s): 3
Natural Science Credit(s): 4
Language Credit(s): 3

Third Year

Fall (15 Credits)

DANL 300 - Advanced Data Analytics Credit(s): 3
MGMT 300 - Organizational Behavior Credit(s): 3
MKTG 331 - Marketing Credit(s): 3
American History Credit(s): 3
Language Credit(s): 3

Spring (15 Credits)

DANL 310 - Data Visualization and Presentation Credit(s): 3
MGMT 305 - Quantitative Methods Credit(s): 3
FNCE 311 - Managerial Finance Credit(s): 3
Non-Western Civilization Credit(s): 3
Language Credit(s): 3

Fourth Year

Fall (14 Credits)

DANL Elective Credit(s): 3
DANL Elective Credit(s): 3
Outside Major Elective Credit(s): 3
Outside Major Elective Credit(s): 3
Outside Major Elective Credit(s): 2

Spring (15 Credits)

DANL 410 - Data Analytics Capstone Credit(s): 3
DANL Elective Credit(s): 3
Outside Major Elective Credit(s): 3
Outside Major Elective Credit(s): 3
Outside Major Elective Credit(s): 3

Total Credit Hours: 120

Note: Where no prerequisites apply, some variation in the order or semester in which courses are taken is possible. Students should consult their academic advisors for additional information.